{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T10:09:37Z","timestamp":1781086177660,"version":"3.54.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Science and Technology Research Project of Wuhu City","award":["2020yf48"],"award-info":[{"award-number":["2020yf48"]}]},{"name":"Research Foundation of the Institute of Environment-Friendly Materials and Occupational Health (Wuhu), Anhui University of Science and Technology","award":["ALW2021YF04"],"award-info":[{"award-number":["ALW2021YF04"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102003"],"award-info":[{"award-number":["62102003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University Synergy Innovation Program of Anhui Province","award":["GXXT-2021-006"],"award-info":[{"award-number":["GXXT-2021-006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tce.2023.3278264","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T17:51:34Z","timestamp":1685037094000},"page":"775-785","source":"Crossref","is-referenced-by-count":29,"title":["YOLOD: A Task Decoupled Network Based on YOLOv5"],"prefix":"10.1109","volume":"69","author":[{"given":"Xingzhu","family":"Liang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9817-9659","authenticated-orcid":false,"given":"Wei","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6711-3486","authenticated-orcid":false,"given":"Chunjiong","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lixin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyun","family":"Yan","sequence":"additional","affiliation":[{"name":"Jinling Institute of Technology, Jiangsu AI Transportation Innovations and Applications Engineering Research Center, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Chen","sequence":"additional","affiliation":[{"name":"Information Center,Nanjing Highway Development (Group) Company Ltd., Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00378"},{"key":"ref5","article-title":"Efficient two-stage detection of human-object interactions with a novel unary-pairwise transformer","author":"Zhang","year":"2021","journal-title":"arXiv:2112.01838"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00531"},{"key":"ref12","article-title":"YOLOv5","author":"Jocher","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01158"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00362"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref17","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021","journal-title":"arXiv:2107.08430"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00883"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2019.2897758"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2020.3031359"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2021.3126877"},{"key":"ref23","first-page":"7482","article-title":"Multi-task learning using uncertainty to weigh losses for scene geometry and semantics","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Kendall"},{"key":"ref24","article-title":"Location-sensitive visual recognition with cross-IOU loss","author":"Duan","year":"2021","journal-title":"arXiv:2104.04899"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227801"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"ref27","first-page":"1058","article-title":"Regularization of neural networks using DropConnect","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wan"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref29","first-page":"1106","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref30","first-page":"9333","article-title":"Sniper: Efficient multi-scale training","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Singh"},{"key":"ref31","article-title":"Improving robustness without sacrificing accuracy with patch Gaussian augmentation","author":"Lopes","year":"2019","journal-title":"arXiv:1906.02611"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50037-X"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007327622663"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1911.08287"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3095305"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413726"},{"key":"ref40","article-title":"Learning spatial fusion for single-shot object detection","author":"Liu","year":"2019","journal-title":"arXiv:1911.09516"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019259"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2004.10934"},{"key":"ref44","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01325"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10438343\/10136630.pdf?arnumber=10136630","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T01:42:14Z","timestamp":1710380534000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10136630\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":47,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3278264","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}